Data Engineer II

Senior Data EngineerCognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here.Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.At Cognite, the Global Value Delivery team leads software implementation, deployment & adoption for clients, and helps them accelerate their digital transformation efforts with Cognite's product suite. We consist of people with diverse and high-performance backgrounds, ranging from Management Consulting, to Industry and Software development. We seek to continuously improve how we work with our clients, how we work together as a team, and how we develop as individuals.Do you see how data can be used, modeled and visualized in new ways to improve decisions in industrial engineering, but you experience that the tools and data availability is insufficient to create impact? If you want to change that, and take part in forming what the future of the industry will look like you should join our Cognite and become a part of the team responsible for delivering Cognite's cutting edge industry solutions to our customers!As a Senior Data Engineer, located in Houston, Austin or Phoenix, you will design, develop and implement data infrastructure and best-in-class pipelines that collect, connect, centralize and curate data from various internal and external data sources. You will ensure that architectures support the needs of the business, and recommend ways to improve data reliability, efficiency. You are an experienced engineer with a passion for software development, hands-on in designing, implementing, and delivering features for flagship products.This is a hybrid role working out of our Houston office so candidates must be local to Houston.What You'll DoPartner with Solution Architects to understand client requirements and define queries with subject matter expertsDevelop custom extractors using backend technologies and languages i.e Python, Spark, Rest APIsCustomize existing extractors i.e. database extractor using SQL, event streaming using Kafka and deploy using DockerCreate custom data models for data discovery, mapping, and cleansingCollaborate with product development to turn customer needs into potential product offeringsPrototype data visualization and dashboardsThe Impact you bring to CogniteApplicants must be able to work in the U.S. without sponsorship now or in the future.7+ years of experience in a Data intense roleExperience in O&G and/or Manufacturing is requiredBS or MS degree in computer science or related fieldLoves to code, passion for coding, and enjoys sharing that knowledge with othersStrong understanding of data analysis or data scienceExperience working with data technologies, such as: ETL, SQL, PythonAbility to work on both internal and external client-facing projects and communicate with key stakeholdersAbility to travel onsite to meet with and engage with clients -- we don't build solutions in isolation.Role hybrid based in Houston, TXA snapshot of our many perks and benefits as a CogniterCompetitive compensation401(k) with employer matchingCompetitive health, dental, vision & disability coverages for employees and all dependentsUnlimited PTOPaid Parental Leave ProgramEmployee Referral ProgramEqual Opportunity Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.